406
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A practical guide on strategic roadmapping for information and operations technology management: a case study on industry 5.0 transformation

, , , , & ORCID Icon
Pages 397-421 | Received 18 Oct 2023, Accepted 23 Feb 2024, Published online: 07 Mar 2024

References

  • Park H, Phaal R, Ho J-Y, et al. Twenty years of technology and strategic roadmapping research: a school of thought perspective. Technol Forecasting Social Change. 2020;154:119965. doi: 10.1016/j.techfore.2020.119965
  • Phaal R, Muller G. An architectural framework for roadmapping: towards visual strategy. Technol Forecasting Social Change. 2009;76(1):39–49. doi: 10.1016/j.techfore.2008.03.018
  • Kerr C, Phaal R. Roadmapping and roadmaps: definition and underpinning concepts. IEEE Trans Eng Manage. 2021;69(1):6–16. doi: 10.1109/TEM.2021.3096012
  • Daim TU, Yoon B-S, Lindenberg J, et al. Strategic roadmapping of robotics technologies for the power industry: a multicriteria technology assessment. Technol Forecasting Social Change. 2018;131:49–66. doi: 10.1016/j.techfore.2017.06.006
  • Freitas JS, de Oliveira MG, Bagno RB, et al. A bottom-up strategic roadmapping approach for multilevel integration and communication. IEEE Trans Eng Manage. 2020;69(1):81–93. doi: 10.1109/TEM.2020.3037189
  • Phaal R, Farrukh CJ, Probert DR. Strategic roadmapping: a workshop-based approach for identifying and exploring strategic issues and opportunities. Eng Manage J. 2007;19(1):3–12. doi: 10.1080/10429247.2007.11431716
  • Abe H, Ashiki T, Suzuki A, et al. Integrating business modeling and roadmapping methods–the innovation support technology (IST) approach. Technol Forecasting Social Change. 2009;76(1):80–90. doi: 10.1016/j.techfore.2008.03.027
  • Siebelink R, Hofman E, Halman JI, et al. Roadmapping:(Missed) opportunities to overcome strategic challenges. Bus Horiz. 2021;64(4):501–512. doi: 10.1016/j.bushor.2021.02.014
  • Cheng M, Wong JW, Cheung CF, et al. A scenario-based roadmapping method for strategic planning and forecasting: a case study in a testing, inspection and certification company. Technol Forecasting Social Change. 2016;111:44–62. doi: 10.1016/j.techfore.2016.06.005
  • Vishnevskiy K, Karasev O, Meissner D. Integrated roadmaps for strategic management and planning. Technol Forecasting Social Change. 2016;110:153–166. doi: 10.1016/j.techfore.2015.10.020
  • Ahumada-Tello E, Ovalle-Osuna OO, Evans RD (2023). Strategic roadmapping for technological change. In IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) (pp. 53–67).
  • Ghobakhloo M, Iranmanesh M, Morales ME, et al. Actions and approaches for enabling industry 5.0‐driven sustainable industrial transformation: a strategy roadmap. Corp Soc Resp Environ Manage. 2023a;30(3):1473–1494. doi: 10.1002/csr.2431
  • Ghobakhloo M, Iranmanesh M, Foroughi B, et al. Industry 5.0 implications for inclusive sustainable manufacturing: an evidence-knowledge-based strategic roadmap. J Clean Prod. 2023b;417:138023. doi: 10.1016/j.jclepro.2023.138023
  • Ghobakhloo M, Iranmanesh M, Foroughi B, et al. Industry 4.0 digital transformation and opportunities for supply chain resilience: a comprehensive review and a strategic roadmap. Production Planning & Control. 2023c;1–31. doi: 10.1080/09537287.2023.2252376
  • de Oliveira MG, Freitas JS, Pereira BS, et al. Exploring the involvement of experts in strategic roadmapping with large groups. IEEE Trans Eng Manage. 2020;69(1):56–66. doi: 10.1109/TEM.2020.3026936
  • Kerr C. The systems approach of strategic roadmapping: framing challenges and contributions whilst flexing to changing conditions and circumstances. Syst Res Behav Sci. 2023;40(4):701–712. doi: 10.1002/sres.2953
  • Coelho GM, Galvão ACF, Guedes AC, et al. Strategic foresight applied to the management plan of an innovation development agency. Technology Analysis And Strategic Management. 2012;24(3):267–283. doi: 10.1080/09537325.2012.655412
  • Ghobakhloo M, Iranmanesh M, Mubarak MF, et al. Identifying industry 5.0 contributions to sustainable development: a strategy roadmap for delivering sustainability values. Sustainable Prod Consumption. 2022;33:716–737. doi: 10.1016/j.spc.2022.08.003
  • Andreotta M, Nugroho R, Hurlstone MJ, et al. Analyzing social media data: a mixed-methods framework combining computational and qualitative text analysis. Behav Res. 2019;51(4):1766–1781. doi: 10.3758/s13428-019-01202-8
  • Palinkas LA, Horwitz SM, Green CA, et al. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration Policy Mental Health Mental Health Serv Res. 2015;42(5):533–544. doi: 10.1007/s10488-013-0528-y
  • Fodor IK. A survey of dimension reduction techniques. 2002. https://arxiv.org/abs/1403.2877.
  • Chejarla KC, Vaidya OS, Kumar S. MCDM applications in logistics performance evaluation: a literature review. Multi Criteria Decision Anal. 2022;29(3–4):274–297. doi: 10.1002/mcda.1774
  • Shaikh AR, Qazi AA, Appolloni A. Identification and evaluation of the contextual relationship among barriers to the circular supply chain in the Pakistani context–an interpretive structural modelling approach. Prod Plann Control. 2022;1–16. doi: 10.1080/09537287.2022.2159896
  • Ching NT, Ghobakhloo M, Iranmanesh M, et al. Industry 4.0 applications for sustainable manufacturing: a systematic literature review and a roadmap to sustainable development. J Clean Prod. 2022;334:130133. doi: 10.1016/j.jclepro.2021.130133
  • Rajput S, Singh SP. Identifying industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach. Manage Decis. 2019;57(8):1784–1817. doi: 10.1108/MD-04-2018-0378
  • Raut RD, Priyadarshinee P, Gardas BB, et al. Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technol Forecasting Social Change. 2018;134:98–123. doi: 10.1016/j.techfore.2018.05.020
  • Jena J, Sidharth S, Thakur LS, et al. Total interpretive structural modeling (TISM): approach and application. JAMR. 2017;14(2):162–181. doi: 10.1108/JAMR-10-2016-0087
  • Agarwal N, Seth N. Analysis of supply chain resilience barriers in Indian automotive company using total interpretive structural modelling. JAMR. 2021;18(5):758–781. doi: 10.1108/JAMR-08-2020-0190
  • Ghobakhloo M, Iranmanesh M, Grybauskas A, et al. Industry 4.0, innovation, and sustainable development: a systematic review and a roadmap to sustainable innovation. Business Strat Environ. 2021;30(8):4237–4257. doi: 10.1002/bse.2867
  • Pal A, Harper FM, Konstan JA. Exploring question selection bias to identify experts and potential experts in community question answering. ACM Trans Inf Syst. 2012;30(2):1–28. doi: 10.1145/2180868.2180872
  • Vogt WP, Gardner DC, Haeffele LM, et al. Selecting the right analyses for your data: quantitative, qualitative, and mixed methods. New York, USA: Guilford Publications; 2014.
  • Gadekar R, Sarkar B, Gadekar A. Model development for assessing inhibitors impacting industry 4.0 implementation in Indian manufacturing industries: an integrated ISM-Fuzzy MICMAC approach. Int J Syst Assur Eng Manag. 2022;15(2):1–26. doi: 10.1007/s13198-022-01691-5
  • McCarthy CJ, Whittaker TA, Boyle LH, et al. Quantitative approaches to group research: suggestions for best practices. J Spec Group Work. 2017;42(1):3–16. doi: 10.1080/01933922.2016.1264520
  • Maddikunta PKR, Pham Q-V, Prabadevi B, et al. Industry 5.0: a survey on enabling technologies and potential applications. J Ind Inf Integr. 2022;26:100257. doi: 10.1016/j.jii.2021.100257
  • Huang S, Wang B, Li X, et al. Industry 5.0 and society 5.0—comparison, complementation and co-evolution. J Manuf Syst. 2022;64:424–428. doi: 10.1016/j.jmsy.2022.07.010
  • Carayannis EG, Morawska-Jancelewicz J. The futures of Europe: society 5.0 and industry 5.0 as driving forces of future universities. J Knowl Econ. 2022;13(4):3445–3471. doi: 10.1007/s13132-021-00854-2
  • Ivanov D. The industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. Int J P Res. 2023;61(5):1683–1695. doi: 10.1080/00207543.2022.2118892
  • PRISMA (2023), Preferred reporting items for systematic reviews and meta-analyses, available at http://www.prisma-statement.org/
  • Gagnidze I. Industry 4.0 and industry 5.0: can clusters deal with the challenges? (A systemic approach). Kybernetes. 2023;52(7):2270–2287. doi: 10.1108/K-07-2022-1005
  • Mukherjee AA, Raj A, Aggarwal S. Identification of barriers and their mitigation strategies for industry 5.0 implementation in emerging economies. Int J Prod Econ. 2023;257:108770. doi: 10.1016/j.ijpe.2023.108770
  • Sharma M, Sehrawat R, Luthra S, et al. Moving towards industry 5.0 in the pharmaceutical manufacturing sector: challenges and solutions for Germany. IEEE Trans Eng Manage. 2022;1–18. doi: 10.1109/TEM.2022.3143466
  • Dwivedi A, Agrawal D, Jha A, et al. Studying the interactions among industry 5.0 and circular supply chain: towards attaining sustainable development. Comput Ind Eng. 2023;176:108927. doi: 10.1016/j.cie.2022.108927
  • Rajesh R. Industry 5.0: analyzing the challenges in implementation using grey influence analysis. J Enterp Inf Manage. 2023;36(5):1349–1371. doi: 10.1108/JEIM-03-2023-0121
  • Karmaker CL, Bari AM, Anam MZ, et al. Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. Int J Prod Econ. 2023;258:108806. doi: 10.1016/j.ijpe.2023.108806
  • Xu X, Lu Y, Vogel-Heuser B, et al. Industry 4.0 and industry 5.0—inception, conception and perception. J Manuf Syst. 2021;61:530–535. doi: 10.1016/j.jmsy.2021.10.006
  • Piprani AZ, Jaafar NI, Mohezar Ali S. Prioritizing resilient capability factors of dealing with supply chain disruptions: an analytical hierarchy process (AHP) application in the textile industry. Benchmarking: Int J. 2020;27(9):2537–2563. doi: 10.1108/BIJ-03-2019-0111
  • Ghobakhloo M. Determinants of information and digital technology implementation for smart manufacturing. Int J P Res. 2020;58(8):2384–2405. doi: 10.1080/00207543.2019.1630775
  • Stentoft J, Adsbøll Wickstrøm K, Philipsen K, et al. Drivers and barriers for industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers. Prod Plann Control. 2021;32(10):811–828. doi: 10.1080/09537287.2020.1768318
  • Yilmaz A, Dora M, Hezarkhani B, et al. Lean and industry 4.0: mapping determinants and barriers from a social, environmental, and operational perspective. Technol Forecasting Social Change. 2022;175:121320. doi: 10.1016/j.techfore.2021.121320
  • Hein-Pensel F, Winkler H, Brückner A, et al. Maturity assessment for industry 5.0: a review of existing maturity models. J Manuf Syst. 2023;66:200–210. doi: 10.1016/j.jmsy.2022.12.009

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.